Sökning: "Classifiers"

Visar resultat 1 - 5 av 94 avhandlingar innehållade ordet Classifiers.

  1. 1. A typology of classifiers and gender : From description to computation

    Författare :Marc Tang; Michael Dunn; Christine Lamarre; Sebastian Fedden; Uppsala universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Classifiers; Gender; Nominal classification; Functions; Random Forests; Phylogeny; Word Embeddings; Neural Networks; Linguistics; Lingvistik;

    Sammanfattning : Categorization is one the most relevant tasks realized by humans during their life, as we consistently need to categorize the things and experience that we encounter. Such need is reflected in language via various mechanisms, the most prominent being nominal classification systems (e.g. LÄS MER

  3. 2. Surface Status Classification, Utilizing Image Sensor Technology and Computer Models

    Författare :Patrik Jonsson; Hans-Erik Nilsson; Benny Thörnberg; Jörgen Bogren; Torbjörn Eltoft; Mittuniversitetet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; road condition; NIR; infrared; remote sensing; signal processing; classifiers;

    Sammanfattning : There is a great need to develop systems that can continuously provide correct information about road surface status depending on the prevailing weather conditions. This will minimize accidents and optimize transportation. LÄS MER

  4. 3. On Effectively Creating Ensembles of Classifiers : Studies on Creation Strategies, Diversity and Predicting with Confidence

    Författare :Tuwe Löfström; Henrik Boström; Ulf Johansson; Harris Papadopoulos; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Predictive Modeling; Ensembles; Conformal Prediction; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : An ensemble is a composite model, combining the predictions from several other models. Ensembles are known to be more accurate than single models. Diversity has been identified as an important factor in explaining the success of ensembles. LÄS MER

  5. 4. Decision Algebra : A General Approach to Learning and Using Classifiers

    Författare :Antonina Danylenko; Welf Löwe; Jonas Lundberg; Uwe Assmann; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; classification; decision model; classifier; Decision Algebra; decision function; Computer Science; Datavetenskap;

    Sammanfattning : Processing decision information is a vital part of Computer Science fields in which pattern recognition problems arise. Decision information can be generalized as alternative decisions (or classes), attributes and attribute values, which are the basis for classification. LÄS MER

  7. 5. Approximations of Bayes Classifiers for Statistical Learning of Clusters

    Författare :Magnus Ekdahl; Timo Koski; Jukka Corander; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pattern Recognition; Stochastic Complexity; Naïve Bayes; Bayesian Network; Classification; Clustering; Chow-Liu trees; Mathematical statistics; Matematisk statistik;

    Sammanfattning : It is rarely possible to use an optimal classifier. Often the classifier used for a specific problem is an approximation of the optimal classifier. Methods are presented for evaluating the performance of an approximation in the model class of Bayesian Networks. LÄS MER